Probabilistic expert systems for forensic inference from genetic markers

Vincenzo Lorenzo Pascali, A. P. Dawid, J. Mortera, D. Van Boxel

Risultato della ricerca: Contributo in rivistaArticolo in rivista

93 Citazioni (Scopus)

Abstract

We present a number of real and fictitious examples in illustration of a new approach to analysing complex cases of forensic identification inference. This is effected by careful restructuring of the relevant pedigrees as a Probabilistic Expert System. Existing software can then be used to perform the required inferential calculations. Specific complications which are readily handled by this approach include missing data on one or more relevant individuals, and genetic mutation. The method is particularly valuable for disputed paternity cases, but applies also to certain criminal cases.
Lingua originaleEnglish
pagine (da-a)577-595
Numero di pagine19
RivistaScandinavian Journal of Statistics
Volume29
Stato di pubblicazionePubblicato - 2002

Keywords

  • Bayesian networks
  • DNA profile
  • Forensic identification
  • Incomplete evidence
  • Mutation
  • Paternity testing

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